Home  | News

24.10.2025

Tiny logo
Teaser image to MCML at ICCAD 2025

One Accepted Paper

44th IEEE/ACM International Conference on Computer-Aided Design, Munich, Germany, Oct 26-30, 2025

We are happy to announce that MCML researchers have contributed a total of 1 paper to ICCAD 2025. Congrats to our researchers!

Main Track (1 paper)

S. Ullah • S. S. Sahoo • C. Li • C. Li • L. Liu • T. S. Pereira • B. Wen • X. Yin • A. Darjani • N. Kavand • C. Bodla • R. Y. Panduga • A. Holemadlu • J. Maly • J. Förste • S. Vadia • X. S. Hu • A. Kumar
Invited Paper: Circuit and Architecture Design with Emerging Computing Paradigms.
ICCAD 2025 - 44th IEEE/ACM International Conference on Computer-Aided Design. Munich, Germany, Oct 26-30, 2025. DOI

#research #top-tier-work #maly
Subscribe to RSS News feed

Related

Link to

19.01.2026

MCML at AAAI 2026

MCML researchers are represented with 9 papers at AAAI 2026 (6 Main, and 3 Workshops).

Link to Blind Matching – Aligning Images and Text Without Training or Labels

15.01.2026

Blind Matching – Aligning Images and Text Without Training or Labels

CVPR 2025 research from Daniel Cremers’ group shows how images and text can be aligned without training data, labels, or paired examples.

Link to High-Res Images, Less Wait: A Simple Flow for Image Generation

08.01.2026

High-Res Images, Less Wait: A Simple Flow for Image Generation

ECCV 2024 research led by Björn Ommer’s team enables faster high-resolution image generation by boosting diffusion models with flow matching.

Link to

02.01.2026

MCML Researchers in Highly-Ranked Journals

We are excited to announce that MCML researchers have four papers published in highly-ranked journals in 2026.

Link to "See, Don’t Assume": Revealing and Reducing Gender Bias in AI

18.12.2025

"See, Don’t Assume": Revealing and Reducing Gender Bias in AI

ICLR 2025 research led by Zeynep Akata’s team reveals and reduces gender bias in popular vision-language AI models.

Back to Top